POTENTIAL OF RENEWABLE WAVE AND OFFSHORE WIND ENERGY SOURCES IN MALAYSIA

Similar documents
AT&T Global Network Client for Windows Product Support Matrix January 29, 2015

COMPARISON OF FIXED & VARIABLE RATES (25 YEARS) CHARTERED BANK ADMINISTERED INTEREST RATES - PRIME BUSINESS*

COMPARISON OF FIXED & VARIABLE RATES (25 YEARS) CHARTERED BANK ADMINISTERED INTEREST RATES - PRIME BUSINESS*

POTENTIAL OF WIND ENERGY IN SUSTAINABLE DEVELOPMENT OF RESORT ISLAND IN MALAYSIA: A CASE STUDY OF PULAU PERHENTIAN (PERHENTIAN ISLAND)

Analysis One Code Desc. Transaction Amount. Fiscal Period

Case 2:08-cv ABC-E Document 1-4 Filed 04/15/2008 Page 1 of 138. Exhibit 8

150 Watts. Solar Panel. one square meter. Watts

Enhanced Vessel Traffic Management System Booking Slots Available and Vessels Booked per Day From 12-JAN-2016 To 30-JUN-2017

Newfoundland and Labrador Hydro Electricity Rates

Ashley Institute of Training Schedule of VET Tuition Fees 2015

Working Holiday Maker visa programme report

Working Holiday Maker visa programme report. 31 December 2014

STATUS REPORT FOR THE SUBMERGED REEF BALL TM ARTIFICIAL REEF SUBMERGED BREAKWATER BEACH STABILIZATION PROJECT FOR THE GRAND CAYMAN MARRIOTT HOTEL

Regional Atlas: Introduction to South Asia

Registered Actively Seeking Work May 2015

Wind Resource Assessment for BETHEL, ALASKA Date last modified: 2/21/2006 Compiled by: Mia Devine

The Alternatives of Flood Mitigation in The Downstream Area of Mun River Basin

CLIMATOLOGICAL DATA FROM THE WESTERN CANADIAN ODAS MARINE BUOY NETWORK

Norconsult AS Trekanten, Vestre Rosten 81, NO-7075 Tiller Memo no.: 1 Tel: Fax:

UNIT I INTRODUCTION. This unit deals with Location space relations and India s place in the world

CENTERPOINT ENERGY TEXARKANA SERVICE AREA GAS SUPPLY RATE (GSR) JULY Small Commercial Service (SCS-1) GSR

Consumer ID Theft Total Costs

CAFIS REPORT

Wind resources map of Spain at mesoscale. Methodology and validation

Status of Renewable Energy in Liberia

TOPIC: CLOUD CLASSIFICATION

POLICY FEEDING RENEWABLE. How the Energy Bill might affect green electricity suppliers and also renewable generators

Choosing a Cell Phone Plan-Verizon

Inbound Tourism: December 2014

Based on Chapter 11, Excel 2007 Dashboards & Reports (Alexander) and Create Dynamic Charts in Microsoft Office Excel 2007 and Beyond (Scheck)

Department of Public Welfare (DPW)

Third International Meeting on Wind Turbine Noise Aalborg, Denmark June 2009

Design of Grid Connect PV systems. Palau Workshop 8 th -12 th April

Working Holiday Maker visa program report 30 June 2011

3 rd Party Solar Sales April 2012

Development of an Integrated Data Product for Hawaii Climate

Computing & Telecommunications Services Monthly Report March 2015

CMEMS user requirements and user uptake strategy

Bijlage 4: In- en output slagschaduwonderzoek

Departures to the south from Runways 16L and 16R.

The Central Role of Energy Efficiency in the Energy Outlook and EIA s Energy Data Program

Dividends Tax: Summary of withholding tax rates per South African Double Taxation Agreements currently in force Version: 2 Updated:

Satellite Observation of Heavily Lit Fishing Boat Activity in the Coral Triangle Region

How To Calculate Global Radiation At Jos

Infographics in the Classroom: Using Data Visualization to Engage in Scientific Practices

TEACHING SUSTAINABLE ENERGY SYSTEMS A CASE STUDY

Sandia National Laboratories New Mexico Wind Resource Assessment Lee Ranch

Basic Climatological Station Metadata Current status. Metadata compiled: 30 JAN Synoptic Network, Reference Climate Stations

Accident & Emergency Department Clinical Quality Indicators

Working Holiday Maker visa programme report

Solar chilled drinking water sourced from thin air: modelling and simulation of a solar powered atmospheric water generator

Detailed guidance for employers

Renewable Energy. Solar Power. Courseware Sample F0

Government of India Earth System Science Organization Ministry of Earth Sciences India Meteorological Department

EIA case for Hiiumaa offshore wind farm in Estonia

Eindhoven Airport Catchment MIDT Analysis and business cases

FORECASTING. Operations Management

INCOME TAX : INCOME TAX ACT, 1962 (the Act) : SECTION 10(1)(o)(ii) : EXEMPTION FROM INCOME TAX: FOREIGN EMPLOYMENT INCOME

How To Forecast Solar Power

BMBF China-Germany Workshop Garmisch Partenkirchen, 20 th -21 fst September 2009

Met Office. Observations Supply. Marine Networks

Global Equity Trading Volumes Surge 36% in 1 st half 2015 driven by Mainland China

Bijlagen. Bijlage F. Slagschaduw

CLIMATOLOGICAL NOTE NO.14 A SUMMARY

1) Summary of work performed and progress made during preceding month

Horn of Africa: Threat Factors for Commercial Shipping and Forecast of Pirate Activity Through 2009

Small Business Lending *

Overnight stays in hotel establishments registered an increase of 5.1% in October, as compared to the same month of 2013

Enlarged Wind Power Statistics 2010 including Denmark, Germany, Ireland and Great Britain

2016 Examina on dates

RELIABILITY OF ELECTRIC POWER GENERATION IN POWER SYSTEMS WITH THERMAL AND WIND POWER PLANTS

IEA-IEF-OPEC Outlook Comparison

British Columbia s Clean Energy Vision

Analyzing price seasonality

EMERGING MARKET CURRENCY PAIRS CURRENCY GUIDE

-6.0% -4.0% -2.0% 0.0% 2.0% 4.0% 6.0% Copyright by Otar & Associates

List 10 different words to describe the weather in the box, below.

Box Plots. Objectives To create, read, and interpret box plots; and to find the interquartile range of a data set. Family Letters

Community Solar Roof Guide

FULL YEAR 2014 TOTAL STEEL IMPORTS UP 38% FROM 2013 Finished Steel Import Market Share 30% in December

BEACH NOURISHMENT COMBINED WITH SIC VERTICAL DRAIN IN MALAYSIA.

Scott Market Report. Weather Affects Winter Sales

Danish Design Reference Year

Yukon Government Solar Energy Pilot: Performance Monitoring Yukon Government s Energy Solutions Centre. February 2014

of Thailand, the North

PRELIMINARY ACCOUNTS FOR 2010

Stress and deformation of offshore piles under structural and wave loading

AORC Technical meeting 2014

Example of a diesel fuel hedge using recent historical prices

ROADMAP ON MARINE RENEWABLE ENERGY

Solar Energy Storage Critical Success Factors for Passive Houses in Ireland

Hurricanes and Storm Surge

Hybrid Micro-Power Energy Station; Design and Optimization by Using HOMER Modeling Software

A Study on Power Generation Analysis of Floating PV System Considering Environmental Impact

BCOE Payroll Calendar. Monday Tuesday Wednesday Thursday Friday Jun Jul Full Force Calc

Yield Reduction due to Shading:

How To Recover From A Flood In Bundaberg

Business Plan Example. 31 July 2020

Renewable Energy Framework in Spain. Marine Technologies

Professional Report. Map section. Location of the system. Valkkinen Longitude: Latitude: Elevation: 89 m

Transcription:

POTENTIAL OF RENEWABLE WAVE AND OFFSHORE WIND ENERGY SOURCES IN MALAYSIA E.P. Chiang, Z. A. Zainal, P.A. Aswatha Narayana* and K.N. Seetharamu School of Mechanical Engineering, USM Engineering Campus, 14300 Nibong Tebal, Pulau Pinang,. *e-mail: paa iitm@hotmail.com; telephone: 04-593 7788, ext 6319 fax: 04-594 1025 Abstract is a country vastly surrounded by water. Wave power and offshore wind power has been recognised by the international community as a renewable clean energy source. Analysis was conducted for the potential of wave energy and wind energy along the coastline of from the data obtained by the Meteorological Service (MMS) from 1985 to 2000. The n coastline has been divided into four major zones, east peninsular, west peninsular, Sarawak and Sabah. The wind waves, swells and wind characteristics (maximum wind wave height / period / direction, average wind wave height / period; maximum swell height / period / direction, average swell height /period and vector resultant wind direction / speed) were analysed. Locations situated in the South China Sea has the most promising site for wave power potential, with the highest energy resource available in the months of November to February, which coincide with northeast monsoon season. The annual wave power is below 5.0 kw/m. The offshore wind energy resource for this region also shows the same trend as the wave energy. The highest potential is in the east peninsular with annual vector resultant wind speed of 4.1 mls. Keywords: Wave energy, Offshore wind energy, Introduction is a country mostly surrounded by water. Geographically, can be divided into West and East. West consists of peninsular which can further be divided into east peninsular and west peninsular. Peninsular is located roughly between 1 and 6 latitude north and between 100 and 104 longitude east. It is bordered by Thailand in the north; the South China Sea on the east side, while the Straits of Malacca on the west coast separates the peninsula from Sumatra. East is located on the north and northwest side of the island of Borneo with Sabah occupied in the northern half and Sarawak situated in the west. East is bordered by the South China Sea along its northwest coast, by the Sulu Sea and Celebes Sea at the northeast section of Sabah, while on the south side, it has a common boundary with Kalimantan (Indonesia). In recent times, search for alternative and renewable sources of energy has intensified all around the world. Types of alternative and renewable sources of 1

energy are solar energy, wind energy, ocean wave energy, geothermal energy and biogas. In view that is mostly surrounded by water, the potential for an ocean based energy source could help supplemerit the present conventional energy sources for in the future. The worldwide estimated wave energy resource is more than 2 TW. Among the ocean based energy systems that are available or in research stage are Ocean Thermal Energy Conversion (OTEC), tidal power, ocean current, wave power and offshore wind power. Offshore wind speeds are generally higher than coastal wind speeds, hence higher available energy resource. The estimated offshore wind potential in European waters alone is in excess of 2500 TWhlannum,. Offshore area also provides larger area for deploying wind energy devices. The development of offshore wind energy is concentrated in the European nations. Denmark, Sweden, Belgium, the Netherlands, Germany and the United Kingdom have already built wind turbines in marine environments, either inthe sea or on harbour breakwaters. In, study on ocean based energy sources is still in the infant stage. Hence a study on the potential of wave and wind energy along the coastline of has been taken up to estimate the available resource potential. Analysis of the Data The climatology of ocean waves and wind is based on the monthly summary of marine meteorological observations published by the n Meteorological Service (MMS), covering the period of 1985-2000 [1]. The wave and wind data collected are derived from marine surface observations reported by ships which participated in the World Meteorological Organization Voluntary Observation Ships Scheme, oilrigs and lighthouses. The data provided by the MMS is presented on monthly charts with individual values in squares of 2-degree latitude by 2-degree longitude. For this study, 16 locations were chosen based on the nearest sea grid to n coastline. Each location is a square of 2 x 2. Numbers from 1 to 16 were given to label each location (Figure 1.). Grids 1, 2, 3, and 4 represent area covering the east peninsular coastline situated in the South China Sea. Grids 5, 6 and 7 represent area covering the west peninsular coastline situated in the Straits ofmelacca. Grids 8, 9, 10 and 11 cover coastline in Sarawak that faces the South China Sea. Grids 12, 13 and 14 cover coastline of Sabah that face the South China Sea and grids 15 and 16 cover coastline of Sabah that face Sulu Sea and Celebes Sea respectively. 2

Figure 1. Map of with study locations. The monthly wind waves, swells and wind characteristics data from January to December for the period of 16 years (1985-2000) were keyed into the computer for analysis. The wind waves, swells and wind characteristics that were considered are, maximum wind wave height / period / direction, average wind wave height / period, maximum swell height / period / direction, average swell height / period and vector resultant wind direction / speed. From the number of observations for each grid, grids 2, 3, 4, 5,6, 11, 12, 13 and 14 contained the most data sampling. With grids 1, 7, 8, 9, 10, 15 and 16 have fewer data sampling. It is.common to find zero or less than five observation in a month reported for the latter locations. The higher sampling density is associated with the main shipping routes. From the wind waves and swell characteristics, the average and maximum power available in the waves was calculated for each location. Power available in the waves or wave power is the rate of energy transfer per unit area per unit crest width across a plane normal to wave propagation, is calculated using the equation [2,3]. P = 0.55 x H s 2 x Tz kw/m where H s is the significant wave height and Tz the zero-up-crossing wave period. In this study, assumption was made that the visually observed average wave height values as compiled by the MMS are equal to H s and average wave period equal to Tz, since the analysis ofwave record data for is not available. Results and Discussion Wave characteristics Wave condition in is influenced by the northeast monsoon and the southwest monsoon wind. Higher average wind waves of 1.0 to 1.5 m occur during the northeast monsoon season from the months of November to March. The corresponding average period is around 2.5 to 5.0 s. Higher wind waves of 2.5 to 3.0 m are more likely to occur in the middle of the northeast monsoon 3

period (December and January). It is to be noted that MMS data are largely derived from VOS which would avoid rough sea conditions. In the southwest monsoon season from June to September, the average wind waves between 0.7 to 1.1 m in height with the corresponding period averaging around 2.0 to 4.0 s. The maximum height of wind wave during this period is around 2.0 m. In the months in between the two monsoon periods ( April, May and October), the height of the wind waves are around 0.7 m and with the corresponding period of 2.0 to 4.0 s. The maximum height of wind wave in tllis period is around 2.0 m. This shows that the wind waves heights in n waters especially in the areas facing South China Sea has peak (northeast monsoon season) and valley (period inbetween the two monsoon seasons). But for areas in the west peninsular (grids 5, 6 and 7), wind waves average less than 1.0 m in height throughout the year because of it location situated between the Sumatra island and the mountain ranges of Peninsular. The corresponding period varies between 2.0 to 3.0 s throughout the year. The maximum wind waves of 1.5 to 2.0 m usually occur during the months in between the two monsoon seasons. Similar behaviour occurs for the swell conditions in n waters. Swell of 1.5 to 2.0 m occur during the northeast monsoon season. The corresponding period average around 4.0 to 5.0 s, with maximum swell of 2.5 to 3.0 m likely to occur in the middle of the northeast monsoon period. In the southwest monsoon season, swell averages between 1.0 to 1.5 m in height with the corresponding period averaging around 4.0 to 5.0 s occurring during this period. The maximum height of swell during this period is around 2.0 to 2.5 m. In the months in-between the two monsoon periods, the swell height is around 1.0 to1.5 m and with the corresponding period of4.0 to 5.0 s. The maximum height of swell in this period is around 2.0 to 2.5 m. But for areas in the west peninsular (grids 5, 6 and 7) swell average around 1.0 m in height throughout the year, with maximum swell of around 2.0 m in height. The corresponding period is 3.5 to 4.5 s. The directions of wave in are influenced by the monsoon wind. In the northeast monsoon period, the predominant wave direction is from the east quadrant for locations in the east peninsular, Sarawak and Sabah except for west peninsular which is from the south quadrant. In the months of April to May, the wave direction gradually changes from east to southwest quadrant. In the southwest monsoon period, the wave direction is from the southwest quadrant for all locations. In October, predominant wave direction is from the southwest quadrant. Wave power From the data obtained, wave power for each location was calculated. Table 1 shows the average wave power calculated from wind wave for each month from year 1985 to 2000. Table 2 shows the average wave power calculated from swell from year 1985 to 2000. In the months ofnovember to February, wave power of around 2.0 kw/m (wind wave) and 6.0 to 12.0 kw/m (swell) is observed in the east peninsular. For regions in Sarawak and Sabah, the available wave power is lower than in the east peninsular. But in the months of July to October, the available wave power in Sabah and Sarawak is higher when 4

compared to other regions in, which have a potential of 3.0 to 5.0 kw/m (swell). In west peninsular, the wave power available is in the region of 0.5 kw/m (wind wave) and 2.0 kw/m (swell) throughout the year. Mean 1.1 1.9 1.0 0.9 0.5 0.5 0.5 1.0 1.0 1.5 2.0 1.4 "1.6 1.5 0.9 0.6 Table 1. Monthly mean wind wave power in lew/m. East Peninsular West Peninsular Sarawak 'VVest East Peninsular Peninsular Sarawak Sabah Month I:t~~2:B~3fiV4f!.. r~ _s'7~'$. 5'" ~.;}/ V:- ;\\...if. ~ He, 3,.~ 1 j:~~~to~l.fij r~1'2:~~1~~i)~t lt1'~~1~ ~ "'~,'io'i. ~~". '..,~... Jan 2.0 3. '1 2.0 1.8 0.5 0.5 0.7 "1.9 1.6 3.1 4.6 2.0 2.8 2.0 1.7 1.1 Feb 1.8 2.2 1.3 1.'1 0.5 0.4 0.5 "1.2 '1.6 2.1 2.7 1.4 2.0 1.4 1.8 '1.1 Mar '1.'1 1.3 0.7 0.8 0.6 0.4 0.4 0.9 '1.5 '1.6 1.8 1.3 1.5 1.1 0.9 '1.1 Apr 0.4 0.7 0.3 0.5 0.4 0.5 0.4 0.4 0.7 0.7 0.8 0.8 0.9 0.8 0.4 0.4 Ma~1 0.4 0.9 0.6 0.5 0.4 0.5 0.5 0.6 0.4 0.7 0.6 0.6 119 0.9 0.6 0.5 Jun 0.5 1.2 0.6 0.7 0.4 0.5 0.5 0.6 0.9 D.B 0.9 1.1 '1.2 1.4 0.7 0.2.Jul 0.5 1.6 1.0 0.7 0.4 0.6 0.5 "1.0 0.8 0.8 1.0 1.1 1.5 1.6 0.8 0.5 Aug 0.9 1.7 1.0 0.8 0.6 0.7 0.7 0.8 0.6 0.9 1.1 1.2 1.2 '1.6 0.8 0.6 Sep 1.5 1.2 0.6 0.8 0.4 0.6 0.4 '1.3 0.6 0.9 1.0 1.0 1.1 '1.3 0.7 0.7 Oct 0.7 '1.1 0.6 0.5 0.5 0.6 0.6 0.6 0.7 1.2 1.7 1.4 1.6 1.6 0.8 0.3 ~Jov 2.3 2.2 0.9 0.7 0.5 0.6 0.9 '1.6 '1.0 2.7 3.1 1.7 1.8 2.0 0.8 0.7 Dec 1.9 5.-1 2.6 1.9 0.5 0.5 0.6 "1.6 2.3 3.0 5.0 2.8 3.3 2.5 1.2 0.5 Month ~t- Jan 11.8 7.9 8.6 5.7 2.2 1.9 0.7 7.6 7.5 Feb 10.8 5.B 6.7 3.5 1.9 1.0 0.8 4.5 5.-1 Mar 5.4 3.8 3.9 2.9 1.4 '1.3 1.8 3.5 3.0 Apr 2.9 2.8 1.9 1.2 1.7 1.0 1.4 1.3 1.6 May 1.1 1.9 1.9 1.1 2.1 1.3 "1.2 1.6 0.8 Jun 1.6 2.1 2.1 2.3 2.4 1.8 0.9 1.4 2.8 Jul 1.8 3.9 3.3 2.3 2.7 2.2 1.6 3.0 5.3 Aug 2.0 2.9 3.8 2.8 2.6 2.3 1.9 2.5 2.5 Sep 1.8 2.3 2.-1 2.5 '1.5 2.2 0.8 1.5 2.2 Oct 1.9 2.5 2.8 1.9 2.1 1.7 2.7 4.0 4.1 Nov 6.0 5.0 5.0 2.3 2.5 2.3 0.8 6.3 5.2 Dec 6.6 11.2 9.5 6.9 2.6 2.0 2.6 9.4 13.3 Mean 4.5 4.3 4.3 3.0 2.1 1.8 1.4 3.9 4.5 3.6 Sabah Table 2. Monthly mean swell wave power in kw/m. The mean wave power for locations situated in the west peninsular is in the region of 0.5 to 2.0 kw/m. In the east peninsular, the mean available wave power is in the region of 1.0 to 12.0 lew/m depending upon the season, with the higher wave power occur during the northeast monsoon 5

season. In Sabah and Sarawak, the available mean wave power, is in the region of 1.0 to 8.0 kw/m. Offshore wind characteristics The mean wind speed over the sea surface around the sea surrounding is generally below 5 m/s. From table 3, it is observed that the highest wind speed is in east peninsular for grids 1, 2, 3 and 4, grid 8 in Sarawak and in Sabah at grid 13. Wind speed at these locations reach above 5 mls during the northeast monsoon season and for the rest of the year wind speed is low. The direction of the wind is from the northeast and east quadrant during the northeast monsoon season and south and southwest quadrant during the southwest monsoon season. East Peninsular Month '="="""""" 's 'C!W'-'l~ ;'~~~ \Nest Peninsular I---F~~~"'",,?,Ilr ', ili'j!\ln Jan 6.7 5.7 2.4 0.7 2.2 Feb 5.4 4.6 1.6 0.7 2.4 Mar 3.8 3.3 1.4 1.0 1.4 Apr!.7 U '1.2 0.91.4 May 2.1 '1.8 1.0 1.0 '1.8 Jun 3.1 2.6 1.4 1.5 1.9 Jul 4.3 3.7 1.3 2.1 2.2 Aug 4.53.71.61.41.9 Sap 3.3 3.0 0.9 0.8 1.3 Oct 1.7 2.7 Hi 1.2 1.5 Nov 2.7 2.3 2.1 1.7 2.2 Dec 5.9 5.0 2.4 1.5 2.9 Mean 3.8 3.3 1.6 1.2 1.9 Sarawak Sabah, [. '1'5.'>"l'J' -. ",. ',- "f 4.0 3.1 2.7 4.2 5.7 1.9 4.0 3.6 2.3 2.2 0.5 1.3 1.5 0.0 1.4 2.5 2.6 1.7 2.8 3.5 1.6 3.5 2.1 2.8 2.7 0.0 1.9 2.7 3.1 1.2 2.1 3.1 1.8 2.8 4.3 3.1 2.9 2.6 2.0 Table 3. Monthly vector resultant mean wind speed in mls. Conclusion The available wave power around the sea surrolmding has been calculated and tabulated from data obtained from MMS derived from visual wave data from 1985 to 2000. The corresponding wind speeds have also been estimated. It can be concluded that the available annual wave power in waters surrounding is below 5.0 kw/m with the highest annual wave power is in east peninsular that face the South China Sea with a potential of 4.5 kw/m. The available wave power changes with season, with the highest occur during the northeast monsoon season and lowest in the months in between the two monseon seasons. The annual offshore wind speed is around 1.2 to 4.1m/s for n waters, with higher values occurring in the east peninsular having 3.3 to 4.1 kw/m. 6

The present analysis is largely based on VOS, which have been shown to have errors during taking and reporting of the observation data [4]. Data corrections based on recommendations presented in paper by Gulev et al [4], can be used in future to improve the results. Acknowledgement Authors ac1mowledge the support given by USM in the form of short-term grant for this work. Reference: [1]. Books: MMS. Monthly summary of marine meteorological observations, n Meteorological Service, (1985-2000). [2]. Journals: Baba, M. "Wave power potential of Lakshadweep and Andaman & Nicobar Islands". Indian Journal of Marine Sciences, Vol. 17, pp. 330-332 (1988). [3]. Books: Shaw, R. Wave Energy: A Design Challenge, Ellis Horwood, Chichester, pp 76 (1982). [4]. Proceedings and reports:: Gulev, S.K. "Global-scale Wave Observations from Voluntary Observation Ships: Assessment of Reliability and Potentialities for Global and Off-shore Regions Studies", i h International Workshop on Wave Hindcasting and Forcasting, Banff, Alberta, Canada, (2002). 7